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bioBert-without_frezze_combo_data2
adity12345/bioBert-without_frezze_combo_data2
bioBert-without_frezze_combo_data2 is a text classification model from adity12345. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jul 1, 2025
- Updated
- Jul 1, 2025
- SHA
- 55802b0f
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bioBert-without_frezze_combo_data2
This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2692
- Accuracy: 0.915
- Auc: 0.955
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.2713 | 1.0 | 2002 | 0.2217 | 0.932 | 0.975 |
| 0.3453 | 2.0 | 4004 | 0.4282 | 0.846 | 0.79 |
| 0.5645 | 3.0 | 6006 | 0.4940 | 0.81 | 0.721 |
| 0.5145 | 4.0 | 8008 | 0.3990 | 0.873 | 0.81 |
| 0.4618 | 5.0 | 10010 | 0.2692 | 0.915 | 0.955 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jul 1, 2025
- Updated
- Jul 1, 2025